Home / All Courses / Microsoft / Microsoft Business Intelligence / 20768: Developing SQL 2016 Data Models

20768: Developing SQL 2016 Data Models Training & Certification Course


SQL Data Models Course 20768-C: Overview

SpireTec, the leading IT and management training service provider, offers instructor-led online classroom training on developing data models using SQL. We help you prepare for the Exam 70-768 in a step-by-step manner.

Learn how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. Acquire skills for developing SQL Data Models in all formats as follows:

  1. Conceptual Data Models: High-level, static business structures and concepts
  2. Logical Data Models: Entity types, data attributes and relationships between entities
  3. Physical Data Models: The internal schema database design

Organizations – for-profit, non-profit or government – everyone is trying to make the most of the data they generate. It helps them improve their products and services and gain operational excellence. It’s easier said than done. Here comes the need of developing data models that can make it easy to organize and comprehend data and get answers to queries and stay relevant to the emerging demands or situations.

Developing Data Models: Exam 20768-C Syllabus

  1. Describe the components, architecture, and nature of a BI solution
  2. Create a multidimensional database with Analysis Services
  3. Implement dimensions in a cube
  4. Implement measures and measure groups in a cube
  5. Use MDX syntax
  6. Customize a cube
  7. Implement a tabular database
  8. Use DAX to query a tabular model
  9. Use data mining for predictive analysis

Who Should Learn Developing Data Models?

BI Developers

Nowadays, organizations hire data engineers for developing scalable BI (Business Intelligence) solutions with minimal / zero downtime. Developing data models that can comprehend data qualitatively and quantitatively with a rapid rate is the need of the hour. Knowledge and experience with data warehouse design and data modeling principles help candidates to perform their jobs effortlessly.

Data Scientists

Developing efficient data models, data scientists can add value to the work they do. The models help them apply advanced statistical and machine learning algorithms on large scale multidimensional data and generate results that will be leveraged by the business teams.

Prerequisites for 20768-C certification

Experience of querying relational databases using Transact-SQL, which is Microsoft’s and Sybase’s proprietary extension to the SQL (Structured Query Language).

Recommended course

55042: SharePoint 2013 Business Intelligence

Full Description

Module 1: Introduction to Business Intelligence and Data Modelling

This module introduces key BI concepts and the Microsoft BI product suite.


  1. Introduction to Business Intelligence
  2. The Microsoft business intelligence platform

Lab: Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.


Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.


  1. Introduction to Multidimensional Analysis
  2. Data Sources and Data Source Views
  3. Cubes
  4. Overview of Cube Security
  5. Configure SSAS  Monitoring SSAS

Lab: Creating a multidimensional database

  • Creating a Data Source
  • Creating and Configuring a data Source View
  • Creating and Configuring a Cube
  • Adding a Dimension to a Cube

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.


Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.


  1. Configuring Dimensions
  2.  Defining Attribute Hierarchies
  3. Implementing Sorting and Grouping Attributes
  4. Slowly Changing Dimensions

Lab: Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, you will be able to: 

  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.


Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.


  1.  Working with Measures
  2. Working with Measure Groups

Lab: Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Regular Relationships
  • Configuring Measure Group Storage

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.


Module 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.


  1. MDX fundamental
  2. Adding Calculations to a Cube
  3. Using MDX to Query a Cube

Lab: Using MDX

  • Querying a cube using MDX
  • Adding a Calculated Member

After completing this module, you will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.


Module 6: Customizing Cube Functionality

This module describes how to customize a cube.


  1. Implementing Key Performance Indicators
  2. Implementing Actions
  3. Implementing Perspectives
  4. Implementing Translations

Lab : Customizing a Cube

  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database


Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.


  1. Introduction to Tabular Data Models
  2. Creating a Tabular Data Model
  3. Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Working with an Analysis Services Tabular Data Model

Creating an Analysis Services Tabular Data Model

Configure Relationships and Attributes

Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution


Module 8: Introduction to Data Analysis Expression (DAX)

This module describes how to use DAX to create measures and calculated columns in a tabular data model.


  1. DAX Fundamentals
  2. Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Lab: Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parents Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX


Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.


  1. Overview of Data Mining
  2. Creating a Custom Data Mining Solution
  3. Validating a Data Mining Model
  4. Connecting to and Consuming a Data-Mining Model
  5. Using the Data Mining add-in for Excel

Lab: Using Data Mining

  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training 3 Days Ask for Quote
Onsite Classroom Training 3 Days Ask for Quote
Customized Training 3 Days Ask for Quote


SpireTec solutions is the latest technology enabled I.Tmanagement training company specialized in offering 1500+ courses with the state of art training facilities backed by a team of industry experts in various domains with assuring best quality services.
Since SpireTec provides 24X7 training and support for your training needs is very adaptable to your time availabilities and offers customized training programs according to your availability and time zones of your contingent.
Because SpireTec aims for the personal & professional growth of you as individual & corporate as a whole, providing training on the latest and updated versions in the designated domains.
It is preferable but not mandatory to have domain experience in the area of your interest in which you want to opt training, supported by good English communication skills, a good Wi-Fi and computer or laptop system in case you want remote training
Spire Tec aims and ensure to offer finest and world-class training to the participants by giving them a proper counselling and a guided career path by our industry experts which leads guaranteed success for you in the corporate world
We offer online training (1-1, Group training), Classroom training, Onsite training with state of art facilities.
You can make payment online via PayPal with any of the debit & credit cards or via direct bank transfer.